GPT-4
OpenAI multimodal large language model
Common Themes
Videos Mentioning GPT-4
Open Source AI is AI we can Trust — with Soumith Chintala of Meta AI
Latent Space
A large language model, mentioned in the context of synthetic data generation by distilling its capabilities into other models.
All-In Summit: In conversation with Graham Allison
All-In Podcast
Mentioned as a benchmark for AI capabilities, with Chinese AI machines being compared as competitors.
The State of AI in production — with David Hsu of Retool
Latent Space
Discussed as a leading model for AI applications, with a higher NPS than GPT-3.5, and its use in enterprise is growing despite privacy concerns.
The Four Wars of the AI Stack - Dec 2023 Recap
Latent Space
A powerful model from OpenAI, enabling new use cases like computer vision integration.
The Origin and Future of RLHF: the secret ingredient for ChatGPT - with Nathan Lambert
Latent Space
Considered more accurate than humans at labeling preferences (80% vs. 60-70%). Mentioned for its role in synthetic data generation and for providing feedback in evaluation benchmarks like Mt-bench.
What Do We Know About Our Minds?: A Conversation with Paul Bloom (Episode #317)
Sam Harris
An AI model discussed in the context of its rapid adoption and impact on AI risk and the information landscape. It has been seen as a significant advancement that has bypassed previously established AI safety landmarks.
Max Tegmark: The Case for Halting AI Development | Lex Fridman Podcast #371
Lex Fridman
An advanced large language model, the subject of an open letter calling for a six-month pause on training models larger than it due to concerns about its capabilities and unforeseen risks.
India’s Fastest Growing AI Startup
Y Combinator
An AI model mentioned as the first that Emergent started looking at. A key problem at the time was parsing structured output like JSON.
The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
Latent Space
A Transformer-based LLM from OpenAI, mentioned for its ability to utilize context from the top of its window and its decent chess-playing capability. Sourcegraph still uses GPT-4 for chat and commands.
⚡️Anthropic vs Cognition on Multi-Agents: A Breakdown with Dylan Davis
Latent Space
A large language model mentioned in the context of rapidly falling intelligence costs.
Edward Frenkel: Reality is a Paradox - Mathematics, Physics, Truth & Love | Lex Fridman Podcast #370
Lex Fridman
A specific large language model mentioned as an example of AI that captures the 'magic of the human condition' by compressing vast amounts of human data, mimicking complexity.
DeepSeek Panic, US vs China, OpenAI $40B?, and Doge Delivers with Travis Kalanick and David Sacks
All-In Podcast
OpenAI's large language model, used as a benchmark for comparison with DeepSeek's R1 model.
Scaling Test Time Compute to Multi-Agent Civilizations — Noam Brown, OpenAI
Latent Space
The model is mentioned in the context of the 'all you can eat' scaling paradigm and as a benchmark for reasoning capabilities. Its successor, GPT-4.5, is also discussed.
The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
Latent Space
Discussed in relation to the scale of compute required for training and the cost estimation.
Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
Latent Space
OpenAI's most advanced language model at the time of recording, powering Phind's core reasoning engine and leading to significant improvements and user growth.
Powering your Copilot for Data - with Artem Keydunov from Cube.dev
Latent Space
A large language model developed by OpenAI, mentioned as a primary model used for data analysis tasks.
An Important Message On AI & Productivity: How To Get Ahead While Others Panic | Cal Newport
Cal Newport
The current generation of large language models discussed for its impressive capabilities but significant limitation in simulating the future.
Why AI Agents Don't Work (yet) - with Kanjun Qiu of Imbue
Latent Space
A large language model benchmarked against MetaGPT.
The End of Finetuning — with Jeremy Howard of Fast.ai
Latent Space
Demonstrated advanced chess-playing capabilities (Elo 3400) with sophisticated prompting strategies, showing hidden potential.
RAG is a hack - with Jerry Liu of LlamaIndex
Latent Space
Considered by Jerry Liu to be significantly better for complex reasoning compared to GPT-3.
The Great Derangement: A Conversation with Tim Urban (Episode #315)
Sam Harris
A more advanced large language model. Its release shortly after ChatGPT is noted as an example of rapidly increasing AI capabilities that can proliferate misinformation.
RWKV: Reinventing RNNs for the Transformer Era
Latent Space
OpenAI's large language model; its instruction data was used to fine-tune RWKV Raven models after scrubbing for TOS violations.
Joscha Bach: Nature of Reality, Dreams, and Consciousness | Lex Fridman Podcast #212
Lex Fridman
The hypothetical next generation of OpenAI's language model, discussed for its expected advanced capabilities and the playful notion that it's 'listening to us now'.
Ep 18: Petaflops to the People — with George Hotz of tinycorp
Latent Space
GPT-4's training cost is estimated in 'person-years', and its architecture as a mixture of experts is discussed.